Triple

T10228610
Position Surface form Disambiguated ID Type / Status
Subject Nori E243281 entity
Predicate shortFormOf P43 FINISHED
Object Honora E243280 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Honora | Statement: [Nori, shortFormOf, Honora]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honora
Context triple: [Nori, shortFormOf, Honora]
  • A. Honora chosen
    Honora is a feminine given name of Latin origin meaning "honor" or "woman of honor."
  • B. Cornelia
    Cornelia is a feminine given name of Latin origin, historically associated with several notable women in European history.
  • C. Horatia
    Horatia is a feminine given name most notably borne by Horatia Nelson, the daughter of British naval hero Admiral Horatio Nelson and Emma Hamilton.
  • D. Constance
    Constance is a feminine given name of Latin origin, historically associated with nobility and meaning steadfastness or constancy.
  • E. Constance
    Constance is a historic city on Lake Constance in present-day Germany, best known as the site of the early 15th-century Council of Constance that ended the Western Schism in the Catholic Church.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71c9123cc819095da6d8dc0cfa688 completed April 9, 2026, 3:27 a.m.
Created at: April 6, 2026, 11:18 a.m.